Mac17,2
Geekbench AI Score
5327
Single Precision Score
43157
Half Precision Score
60293
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 07:15 PM |
| Views | 34 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
19260
3.58 KIPS |
|
|
Image Classification (Q)
|
97% |
26283
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24805
402.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
34476
558.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11257
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
179222
209.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
336120
394.0 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
18582
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
27995
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
4824
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
48225
573.0 IPS |
|
|
Face Detection (Q)
|
100% |
68508
814.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9045
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114569
882.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
185157
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
25502
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
275993
354.8 IPS |
|
|
Style Transfer (Q)
|
96% |
379581
489.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6047
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67856
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104353
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3140
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
7443
9.93 KIPS |
|
|
Text Classification (Q)
|
93% |
7754
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5089
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
18293
315.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19113
330.3 IPS |
